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1705.08848
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Joint Distribution Optimal Transportation for Domain Adaptation
24 May 2017
Nicolas Courty
Rémi Flamary
Amaury Habrard
A. Rakotomamonjy
OT
OOD
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Papers citing
"Joint Distribution Optimal Transportation for Domain Adaptation"
50 / 302 papers shown
Prominent Roles of Conditionally Invariant Components in Domain Adaptation: Theory and Algorithms
Keru Wu
Yuansi Chen
Wooseok Ha
Ting Yu
CML
348
3
0
19 Sep 2023
Match-And-Deform: Time Series Domain Adaptation through Optimal Transport and Temporal Alignment
Franccois Painblanc
Laetitia Chapel
Nicolas Courty
Chloé Friguet
Charlotte Pelletier
R. Tavenard
AI4TS
OOD
237
9
0
24 Aug 2023
Adapting Machine Learning Diagnostic Models to New Populations Using a Small Amount of Data: Results from Clinical Neuroscience
Rongguang Wang
G. Erus
Pratik Chaudhari
Christos Davatzikos
OOD
245
7
0
06 Aug 2023
Multi-Source Domain Adaptation through Dataset Dictionary Learning in Wasserstein Space
European Conference on Artificial Intelligence (ECAI), 2023
Eduardo Fernandes Montesuma
Fred-Maurice Ngole-Mboula
Antoine Souloumiac
OOD
280
15
0
27 Jul 2023
Dynamic Domain Discrepancy Adjustment for Active Multi-Domain Adaptation
Long-Yu Liu
Bo Zhou
Zhipeng Zhao
Zening Liu
269
0
0
26 Jul 2023
Computational Guarantees for Doubly Entropic Wasserstein Barycenters via Damped Sinkhorn Iterations
Lénaïc Chizat
Tomas Vaskevicius
154
1
0
25 Jul 2023
Performance Scaling via Optimal Transport: Enabling Data Selection from Partially Revealed Sources
Neural Information Processing Systems (NeurIPS), 2023
Feiyang Kang
H. Just
Anit Kumar Sahu
R. Jia
290
16
0
05 Jul 2023
Recent Advances in Optimal Transport for Machine Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Eduardo Fernandes Montesuma
Fred-Maurice Ngole-Mboula
Antoine Souloumiac
OOD
OT
240
66
0
28 Jun 2023
Lower Complexity Adaptation for Empirical Entropic Optimal Transport
Michel Groppe
Shayan Hundrieser
OT
223
14
0
23 Jun 2023
OT-Net: A Reusable Neural Optimal Transport Solver
Machine-mediated learning (ML), 2023
Zezeng Li
Shenghao Li
Lianbao Jin
Na Lei
Zhongxuan Luo
OT
205
5
0
14 Jun 2023
Partial Identifiability for Domain Adaptation
Lingjing Kong
Shaoan Xie
Weiran Yao
Yujia Zheng
Guan-Hong Chen
P. Stojanov
Victor Akinwande
Kun Zhang
270
14
0
10 Jun 2023
Extraction and Recovery of Spatio-Temporal Structure in Latent Dynamics Alignment with Diffusion Models
Neural Information Processing Systems (NeurIPS), 2023
Yule Wang
Zijing Wu
Chengrui Li
Anqi Wu
DiffM
325
15
0
09 Jun 2023
Explaining and Adapting Graph Conditional Shift
Qi Zhu
Yizhu Jiao
Natalia Ponomareva
Jiawei Han
Bryan Perozzi
OOD
198
14
0
05 Jun 2023
Optimal transport for automatic alignment of untargeted metabolomic data
eLife (eLife), 2023
Marie Breeur
George Stepaniants
Pekka Keski-Rahkonen
Philippe Rigollet
V. Viallon
OT
249
1
0
05 Jun 2023
Bringing regularized optimal transport to lightspeed: a splitting method adapted for GPUs
Neural Information Processing Systems (NeurIPS), 2023
Jacob Lindbäck
Zesen Wang
Mikael Johansson
OT
277
2
0
29 May 2023
Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion Models
Neural Information Processing Systems (NeurIPS), 2023
Z. Y. Wan
Ricardo Baptista
Yi-fan Chen
John R. Anderson
Anudhyan Boral
Fei Sha
Leonardo Zepeda-Núñez
DiffM
246
33
0
24 May 2023
Minimizing
f
f
f
-Divergences by Interpolating Velocity Fields
International Conference on Machine Learning (ICML), 2023
Song Liu
Jiahao Yu
J. Simons
Mingxuan Yi
Mark Beaumont
364
5
0
24 May 2023
Computing high-dimensional optimal transport by flow neural networks
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Chen Xu
Xiuyuan Cheng
Yao Xie
OT
625
7
0
19 May 2023
To transfer or not transfer: Unified transferability metric and analysis
Qianshan Zhan
Fangyin Wei
237
2
0
12 May 2023
Learning representations that are closed-form Monge mapping optimal with application to domain adaptation
Oliver Struckmeier
I. Redko
Anton Mallasto
Karol Arndt
Markus Heinonen
Ville Kyrki
OT
OOD
327
2
0
12 May 2023
Speeding up Monte Carlo Integration: Control Neighbors for Optimal Convergence
Bernoulli (Bernoulli), 2023
Rémi Leluc
Franccois Portier
Johan Segers
Aigerim Zhuman
383
13
0
10 May 2023
Scalable Optimal Transport Methods in Machine Learning: A Contemporary Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Abdelwahed Khamis
Russell Tsuchida
Mohamed Tarek
V. Rolland
Lars Petersson
OT
449
30
0
08 May 2023
A multimodal dynamical variational autoencoder for audiovisual speech representation learning
Neural Networks (NN), 2022
Samir Sadok
Simon Leglaive
Laurent Girin
Xavier Alameda-Pineda
Renaud Séguier
356
21
0
05 May 2023
Semi-supervised Domain Adaptation via Prototype-based Multi-level Learning
International Joint Conference on Artificial Intelligence (IJCAI), 2023
Xinyang Huang
Chuanglu Zhu
Wenkai Chen
471
17
0
04 May 2023
Regularizing Self-training for Unsupervised Domain Adaptation via Structural Constraints
Rajshekhar Das
Jonathan M Francis
Sanket Vaibhav Mehta
Jean Oh
Emma Strubell
Jose Moura
230
1
0
29 Apr 2023
LAVA: Data Valuation without Pre-Specified Learning Algorithms
International Conference on Learning Representations (ICLR), 2023
H. Just
Feiyang Kang
Jiachen T. Wang
Yi Zeng
Myeongseob Ko
Ming Jin
R. Jia
349
76
0
28 Apr 2023
Semi-supervised Learning of Pushforwards For Domain Translation & Adaptation
N. Panda
Natalie Klein
Dominic Yang
P. Gasda
Diane Oyen
236
1
0
18 Apr 2023
Algorithm-Dependent Bounds for Representation Learning of Multi-Source Domain Adaptation
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Qi Chen
M. Marchand
OOD
221
11
0
04 Apr 2023
Diffusion Schrödinger Bridge Matching
Neural Information Processing Systems (NeurIPS), 2023
Yuyang Shi
Valentin De Bortoli
Andrew Campbell
Arnaud Doucet
DiffM
OT
469
113
0
29 Mar 2023
Domain Adaptive Semantic Segmentation by Optimal Transport
Fundamental Research (FR), 2023
Yaqian Guo
Xiao Wang
Ce Li
Shihui Ying
OT
238
12
0
29 Mar 2023
Patch-Mix Transformer for Unsupervised Domain Adaptation: A Game Perspective
Computer Vision and Pattern Recognition (CVPR), 2023
Jinjing Zhu
Haotian Bai
Lin Wang
ViT
246
104
0
23 Mar 2023
DARE-GRAM : Unsupervised Domain Adaptation Regression by Aligning Inverse Gram Matrices
Computer Vision and Pattern Recognition (CVPR), 2023
Ismail Nejjar
Qin Wang
Olga Fink
202
51
0
23 Mar 2023
Practicality of generalization guarantees for unsupervised domain adaptation with neural networks
Adam Breitholtz
Fredrik D. Johansson
OOD
166
1
0
15 Mar 2023
The Monge Gap: A Regularizer to Learn All Transport Maps
International Conference on Machine Learning (ICML), 2023
Théo Uscidda
Marco Cuturi
OT
204
34
0
09 Feb 2023
Monge, Bregman and Occam: Interpretable Optimal Transport in High-Dimensions with Feature-Sparse Maps
International Conference on Machine Learning (ICML), 2023
Marco Cuturi
Stephen Zhang
Pierre Ablin
OT
238
18
0
08 Feb 2023
A Prototype-Oriented Clustering for Domain Shift with Source Privacy
Korawat Tanwisuth
Shujian Zhang
Pengcheng He
Mingyuan Zhou
198
3
0
08 Feb 2023
Linear Optimal Partial Transport Embedding
International Conference on Machine Learning (ICML), 2023
Yikun Bai
Ivan Medri
Rocio Diaz Martin
Rana Muhammad Shahroz Khan
Soheil Kolouri
OT
391
11
0
07 Feb 2023
Domain Adaptation for Time Series Under Feature and Label Shifts
International Conference on Machine Learning (ICML), 2023
Huan He
Owen Queen
Teddy Koker
Consuelo Cuevas
Theodoros Tsiligkaridis
Marinka Zitnik
AI4TS
313
104
0
06 Feb 2023
Interpolation for Robust Learning: Data Augmentation on Wasserstein Geodesics
International Conference on Machine Learning (ICML), 2023
Jiacheng Zhu
Jielin Qiu
Aritra Guha
Zhuolin Yang
X. Nguyen
Yue Liu
Ding Zhao
OOD
463
4
0
04 Feb 2023
Dynamic Flows on Curved Space Generated by Labeled Data
International Joint Conference on Artificial Intelligence (IJCAI), 2023
Xinru Hua
Truyen V. Nguyen
Tam Le
Jose H. Blanchet
Viet Anh Nguyen
325
9
0
31 Jan 2023
Graph Harmony: Denoising and Nuclear-Norm Wasserstein Adaptation for Enhanced Domain Transfer in Graph-Structured Data
Mengxi Wu
Mohammad Rostami
AI4CE
302
3
0
29 Jan 2023
Decentralized Entropic Optimal Transport for Privacy-preserving Distributed Distribution Comparison
Xiangfeng Wang
Hongteng Xu
Moyi Yang
OT
304
2
0
28 Jan 2023
Discriminative Radial Domain Adaptation
IEEE Transactions on Image Processing (IEEE TIP), 2023
Zenan Huang
Jun Wen
Siheng Chen
Linchao Zhu
Nenggan Zheng
OOD
327
18
0
01 Jan 2023
Target Conditioned Representation Independence (TCRI); From Domain-Invariant to Domain-General Representations
Olawale Salaudeen
Oluwasanmi Koyejo
187
3
0
21 Dec 2022
Learning List-Level Domain-Invariant Representations for Ranking
Neural Information Processing Systems (NeurIPS), 2022
Ruicheng Xian
Honglei Zhuang
Zhen Qin
Hamed Zamani
Jing Lu
Ji Ma
Kai Hui
Han Zhao
Xuanhui Wang
Michael Bendersky
OOD
334
11
0
21 Dec 2022
Sliced Optimal Partial Transport
Computer Vision and Pattern Recognition (CVPR), 2022
Yikun Bai
Bernhard Schmitzer
Matthew Thorpe
Soheil Kolouri
OT
595
27
0
15 Dec 2022
Label Alignment Regularization for Distribution Shift
Journal of machine learning research (JMLR), 2022
Ehsan Imani
Guojun Zhang
Runjia Li
Jun Luo
Pascal Poupart
Philip H. S. Torr
Yangchen Pan
359
2
0
27 Nov 2022
Modeling Hierarchical Structural Distance for Unsupervised Domain Adaptation
Yingxue Xu
Guihua Wen
Yang Hu
Pei Yang
OT
291
6
0
21 Nov 2022
Unbalanced Optimal Transport, from Theory to Numerics
Thibault Séjourné
Gabriel Peyré
Franccois-Xavier Vialard
OT
296
61
0
16 Nov 2022
Theoretical Guarantees for Domain Adaptation with Hierarchical Optimal Transport
Machine-mediated learning (ML), 2022
Mourad El Hamri
Younès Bennani
Issam Falih
106
2
0
24 Oct 2022
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